Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
We consider a problem of decentralized exploration of a faulty network by several simple, memoryless agents. The model we adopt for a network is a directed graph. We design an asynchronous algorithm that can cope with failures of network edges and nodes. The algorithm is self-stabilizing in the sense that it can be started with arbitrary initializations and scalable -new agents can be added while other agents are already running.
Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
Vicki L Hanson, Edward H Lichtenstein
Cognitive Psychology
Jihun Yun, Peng Zheng, et al.
ICML 2019
Arthur Nádas
IEEE Transactions on Neural Networks